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NON-LINEAR VIBRATION ANALYSIS OF A ROBOT ARM

机译:机器人手臂的非线性振动分析

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The possibility of fault detection in structures from changes in their non-linear parameters is one of the actual question of dynamic system monitoring. This study concentrates on signal processing techniques for non-linear system investigation, based on Hilbert transform and envelope and instantaneous frequency, which enables us to estimate system instantaneous dynamic parameters (natural frequencies, damping characteristics and their dependencies on a vibration amplitude and frequency) during free vibration analysis and different kinds of excitation of the system. The direct time domain techniques allow a direct extraction of the linear and non-linear systems parameters from the measured time signal of input and output. Experimental results of two robot arms testing according to the vibration signal analysis technique have been outlined in this paper. Using an impulse and also a sweep harmonic excitation from the motor (below-after each resonance) we get an input torque signal which together with output vibration signal was used for the modal system analysis. The obtained natural frequency and logarithmic decrement are dependent on the input torque level, so the robot system includes non-linearity both in the spring and damping.
机译:在结构故障检测的从在它们的非线性参数的变化的可能性的动态系统监控的实际问题中的一个。上的信号处理技术本研究的浓缩物为非线性系统的调查,基于希尔伯特变换和包络和瞬时频率,这使得能够在我们估计系统的瞬时动态参数(固有频率,阻尼特性和它们的依赖上的振动幅度和频率)自由振动分析和不同种类的系统的激励的。直接时域技术允许线性和非线性系统参数从输入和输出的测量的时间的信号的直接提取。两个机器人臂根据所述振动信号分析技术检测的实验结果已在本文中概述。使用脉冲并且还从马达的扫描谐波激励(下面-后的各共振),我们得到与输出振动信号一起被用于模态系统的分析的输入转矩信号。将所获得的固有频率和对数衰减依赖于输入扭矩水平,因此,机器人系统包括:非线性无论是在弹簧和阻尼。

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